Ch 11: Data Management: Help and Review

About This Chapter

The Data Management chapter of this College Information Systems and Computer Applications Help and Review course is the simplest way to master management of data. This chapter uses simple and fun videos that are about five minutes long, plus lesson quizzes and a chapter exam to ensure students learn the essentials of data management.

Who's it for?

Anyone who needs help learning or mastering college information systems material will benefit from taking this course. There is no faster or easier way to learn college information systems. Among those who would benefit are:

  • Students who have fallen behind in understanding data management or working with the basic types of data
  • Students who struggle with learning disabilities or learning differences, including autism and ADHD
  • Students who prefer multiple ways of learning business topics (visual or auditory)
  • Students who have missed class time and need to catch up
  • Students who need an efficient way to learn about data management
  • Students who struggle to understand their teachers
  • Students who attend schools without extra business learning resources

How it works:

  • Find videos in our course that cover what you need to learn or review.
  • Press play and watch the video lesson.
  • Refer to the video transcripts to reinforce your learning.
  • Test your understanding of each lesson with short quizzes.
  • Verify you're ready by completing the Data Management chapter exam.

Why it works:

  • Study Efficiently: Skip what you know, review what you don't.
  • Retain What You Learn: Engaging animations and real-life examples make topics easy to grasp.
  • Be Ready on Test Day: Use the Data Management chapter exam to be prepared.
  • Get Extra Support: Ask our subject-matter experts any data management question. They're here to help!
  • Study With Flexibility: Watch videos on any web-ready device.

Students will review:

This chapter helps students review the concepts in a Data Management unit of a standard college information systems course. Topics covered include:

  • Elements of a database
  • Models of database management systems (DBMS)
  • Relational databases
  • Text, numbers and multimedia
  • Data warehousing and data mining
  • Cloud computing and databases

19 Lessons in Chapter 11: Data Management: Help and Review
Test your knowledge with a 30-question chapter practice test
What is Database Management? - How Databases Help Organizations

1. What is Database Management? - How Databases Help Organizations

Organizations use large amounts of data. Database management makes it possible to organize and analyze these data. Learn why database management is important to support business operations.

Database Concepts and Structures: The Elements That Make Up a Database

2. Database Concepts and Structures: The Elements That Make Up a Database

Learn the fundamental elements of databases and how they are structured. One common data structure is a database table, which uses records and fields to organize data.

What is a Database Management System? - Purpose and Function

3. What is a Database Management System? - Purpose and Function

In this lesson, we will describe the purpose and functions of a database management system, as well as the advantages and disadvantages of using a database management system in an organization.

Models of Database Management Systems (DBMS)

4. Models of Database Management Systems (DBMS)

Get to know the different models of database management systems and learn how each one is used to systematically organize large amounts of data in a logical manner.

What is a Relational Database? - Elements, Design & Advantages

5. What is a Relational Database? - Elements, Design & Advantages

The relational database is the most widely used type of database management system. Learn how the relational database organizes data using tables, keys and associations.

Types of Data: Text, Numbers & Multimedia

6. Types of Data: Text, Numbers & Multimedia

Discuss the basic types of data found in databases. These include character strings, integers, decimals, images, audio, video and other multimedia types.

Structured Query Language: Manipulating Databases Using SQL

7. Structured Query Language: Manipulating Databases Using SQL

Describe how to manipulate a database using the logic of Structured Query Language. Learn the basic syntax to write database queries in SQL using the SELECT statement.

Data Warehousing and Data Mining: Information for Business Intelligence

8. Data Warehousing and Data Mining: Information for Business Intelligence

Collections of databases that work together are called data warehouses. This makes it possible to integrate data from multiple databases. Data mining is used to help individuals and organizations make better decisions.

Database Administration and Security: Definition and Purpose

9. Database Administration and Security: Definition and Purpose

A database administrator, or DBA, plays a critical role in managing the databases of an organization. Learn about the various roles of a DBA and the tools used to keep data safe and secure.

Cloud Computing and Databases: Technology to Improve Database Management

10. Cloud Computing and Databases: Technology to Improve Database Management

Cloud computing uses a network of computers to provide services that otherwise would be provided by a single computer or computer server. Learn how cloud computing works and how it allows you to use the same database on multiple devices in this video lesson.

What is a Data Flow Diagram?

11. What is a Data Flow Diagram?

In this lesson, you'll learn what a data flow diagram is, how it is different from a flow chart, and some common uses for data flow diagrams. You'll also find out how to create your own simple data flow diagram.

What are Databases? - Examples & Types

12. What are Databases? - Examples & Types

In this lesson, we'll be looking at databases, which are computer mechanisms for storing and retrieving data. Test your knowledge following the lesson with a quiz.

Arithmetic Logic Unit (ALU): Definition, Design & Function

13. Arithmetic Logic Unit (ALU): Definition, Design & Function

An arithmetic logic unit (ALU) represents the fundamental building block of the central processing unit of a computer. An ALU is a digital circuit used to perform arithmetic and logic operations.

What is a Number Sentence? - Definition & Examples

14. What is a Number Sentence? - Definition & Examples

In this lesson, find out what elements are required for a complete number sentence and view some examples (and non-examples) of number sentences. Then, test your knowledge with a brief quiz.

What is Data Consolidation? - Definition & Overview

15. What is Data Consolidation? - Definition & Overview

In this lesson, we define data consolidation as the process of combining large amounts of data, creating usable portions of information for database storage. Read on to explore data propagation and federation as well as ETL and ELT.

What Is Memory Management? - Requirements, Errors & Techniques

16. What Is Memory Management? - Requirements, Errors & Techniques

This lesson will help you understand how your computer's operating system manages memory including memory for the work you are actually doing as well as saving and storage of files. The lesson also covers some typical errors messages that sometimes appear related to memory management and some techniques for resolving those errors.

Associative Memory in Computer Architecture

17. Associative Memory in Computer Architecture

Computers process the wealth of information we gather each day. Is it any wonder that we're constantly looking for ways to speed that up? In this lesson, we'll take a look at one method for doing this: associative memory.

Naive Bayes Classifier: Algorithm & Examples

18. Naive Bayes Classifier: Algorithm & Examples

Classification helps us make sense of the world. In this lesson, we'll take a look at a specific method, the Naive Bayes Classifier. At the end of the lesson, you should have a good understanding of this interesting technique.

Abstract Data Models

19. Abstract Data Models

How do we simplify the vast amount of data at disposal? The answer to that is abstract data models. In this lesson, we'll take a look at data models and abstraction, and their characteristics and uses.

Chapter Practice Exam
Test your knowledge of this chapter with a 30 question practice chapter exam.
Not Taken
Practice Final Exam
Test your knowledge of the entire course with a 50 question practice final exam.
Not Taken

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